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Dividend Changes, Cash Flow Predictability, and Signaling of Future Cash Flows


Amy Chun-Chia Chang


San Francisco State University; University of Houston

Praveen Kumar


University of Houston - Department of Finance

Shiva Sivaramakrishnan


Texas A&M University - Department of Accounting

March 9, 2006

AFA 2007 Chicago Meetings Paper

Abstract:     
We present fresh evidence on the validity of the dividend signaling hypothesis (DSH), by using a new testing approach. Using a simple dividend signaling model, we derive three empirically identifiable drivers of the marginal net benefit of signaling: cash flow predictability, market-to-book ratio, and past equity returns. Our empirical tests support the DSH. There is a significantly greater association between current dividend changes and future earnings performance for firms with low cash flow predictability, low market-to-book ratio, and low past equity returns. We also present evidence that the marginal signaling benefits at the firm-level are time-varying, increasing (decreasing) in booms (recessions) and in periods of high (low) aggregate stock market performance.

Keywords: Dividend signaling, Cash flow uncertainty, Market-to-book ratio, Time-varying information content

JEL Classification: G35, D82, G30

working papers series


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Date posted: March 13, 2006  

Suggested Citation

Chang, Amy Chun-Chia, Kumar, Praveen and Sivaramakrishnan, Shiva, Dividend Changes, Cash Flow Predictability, and Signaling of Future Cash Flows (March 9, 2006). AFA 2007 Chicago Meetings Paper. Available at SSRN: http://ssrn.com/abstract=890455 or http://dx.doi.org/10.2139/ssrn.890455

Contact Information

Chun-Chia Chang
San Francisco State University ( email )
United States
University of Houston ( email )
Houston, TX 77204-6021
United States
Praveen Kumar
University of Houston - Department of Finance ( email )
Houston, TX 77204
United States
713-743-4770 (Phone)
713-743-4789 (Fax)
Shiva Sivaramakrishnan (Contact Author)
Texas A&M University (TAMU) - Department of Accounting ( email )
430 Wehner
College Station, TX 77843-4353
United States

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